US20060176175A1 - Wireless sensing node powered by energy conversion from sensed system - Google Patents
Wireless sensing node powered by energy conversion from sensed system Download PDFInfo
- Publication number
- US20060176175A1 US20060176175A1 US11/335,019 US33501906A US2006176175A1 US 20060176175 A1 US20060176175 A1 US 20060176175A1 US 33501906 A US33501906 A US 33501906A US 2006176175 A1 US2006176175 A1 US 2006176175A1
- Authority
- US
- United States
- Prior art keywords
- sensor
- energy
- node
- thermoelectric generator
- power
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000006243 chemical reaction Methods 0.000 title description 3
- 238000000034 method Methods 0.000 claims abstract description 60
- 230000008569 process Effects 0.000 claims abstract description 47
- 238000005259 measurement Methods 0.000 claims description 17
- 230000004907 flux Effects 0.000 claims description 11
- 230000004044 response Effects 0.000 claims description 11
- 239000002699 waste material Substances 0.000 claims description 10
- 239000000126 substance Substances 0.000 claims description 9
- 238000012545 processing Methods 0.000 description 12
- 238000004891 communication Methods 0.000 description 10
- 238000010586 diagram Methods 0.000 description 8
- 230000007246 mechanism Effects 0.000 description 8
- 238000011946 reduction process Methods 0.000 description 8
- XAGFODPZIPBFFR-UHFFFAOYSA-N aluminium Chemical compound [Al] XAGFODPZIPBFFR-UHFFFAOYSA-N 0.000 description 7
- 229910052782 aluminium Inorganic materials 0.000 description 7
- 230000006870 function Effects 0.000 description 7
- 239000007789 gas Substances 0.000 description 7
- 238000012986 modification Methods 0.000 description 6
- 230000004048 modification Effects 0.000 description 6
- 238000009529 body temperature measurement Methods 0.000 description 5
- 238000004519 manufacturing process Methods 0.000 description 5
- 239000000463 material Substances 0.000 description 5
- 238000012544 monitoring process Methods 0.000 description 5
- PNEYBMLMFCGWSK-UHFFFAOYSA-N aluminium oxide Inorganic materials [O-2].[O-2].[O-2].[Al+3].[Al+3] PNEYBMLMFCGWSK-UHFFFAOYSA-N 0.000 description 4
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 description 3
- 229910052799 carbon Inorganic materials 0.000 description 3
- 239000003792 electrolyte Substances 0.000 description 3
- 230000009467 reduction Effects 0.000 description 3
- 238000005070 sampling Methods 0.000 description 3
- 239000002918 waste heat Substances 0.000 description 3
- CURLTUGMZLYLDI-UHFFFAOYSA-N Carbon dioxide Chemical compound O=C=O CURLTUGMZLYLDI-UHFFFAOYSA-N 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 2
- 230000006399 behavior Effects 0.000 description 2
- 230000008901 benefit Effects 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 2
- 238000009530 blood pressure measurement Methods 0.000 description 2
- 239000004020 conductor Substances 0.000 description 2
- 230000002000 scavenging effect Effects 0.000 description 2
- 0 *CC(CC1)CC1C1CC1 Chemical compound *CC(CC1)CC1C1CC1 0.000 description 1
- 230000005457 Black-body radiation Effects 0.000 description 1
- RYGMFSIKBFXOCR-UHFFFAOYSA-N Copper Chemical compound [Cu] RYGMFSIKBFXOCR-UHFFFAOYSA-N 0.000 description 1
- 238000009626 Hall-Héroult process Methods 0.000 description 1
- 230000009471 action Effects 0.000 description 1
- 230000004931 aggregating effect Effects 0.000 description 1
- 230000003466 anti-cipated effect Effects 0.000 description 1
- 238000000429 assembly Methods 0.000 description 1
- 230000000712 assembly Effects 0.000 description 1
- -1 but not limited to Substances 0.000 description 1
- 229910002092 carbon dioxide Inorganic materials 0.000 description 1
- 239000001569 carbon dioxide Substances 0.000 description 1
- 238000001816 cooling Methods 0.000 description 1
- 229910052802 copper Inorganic materials 0.000 description 1
- 239000010949 copper Substances 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 238000013480 data collection Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005265 energy consumption Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 231100001261 hazardous Toxicity 0.000 description 1
- 238000003384 imaging method Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 239000010445 mica Substances 0.000 description 1
- 229910052618 mica group Inorganic materials 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- TWNQGVIAIRXVLR-UHFFFAOYSA-N oxo(oxoalumanyloxy)alumane Chemical compound O=[Al]O[Al]=O TWNQGVIAIRXVLR-UHFFFAOYSA-N 0.000 description 1
- 238000009877 rendering Methods 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
- 230000035945 sensitivity Effects 0.000 description 1
- 230000011664 signaling Effects 0.000 description 1
- 238000003860 storage Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000002123 temporal effect Effects 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
- 230000001960 triggered effect Effects 0.000 description 1
- 238000012800 visualization Methods 0.000 description 1
Images
Classifications
-
- C—CHEMISTRY; METALLURGY
- C25—ELECTROLYTIC OR ELECTROPHORETIC PROCESSES; APPARATUS THEREFOR
- C25C—PROCESSES FOR THE ELECTROLYTIC PRODUCTION, RECOVERY OR REFINING OF METALS; APPARATUS THEREFOR
- C25C3/00—Electrolytic production, recovery or refining of metals by electrolysis of melts
- C25C3/06—Electrolytic production, recovery or refining of metals by electrolysis of melts of aluminium
- C25C3/20—Automatic control or regulation of cells
Definitions
- This invention is related in general to sensing systems and more specifically to networks used to sense conditions or characteristics associated with a process or thing.
- Sensing systems are employed in various demanding applications including alumina-processing plant instrumentation, wildfire detection and monitoring; and weather monitoring and forecasting. Such applications often demand versatile sensing systems that can readily provide valuable information to improve predictions, manufacturing techniques, and so on.
- An exemplary alumina-processing plant includes plural aluminum-reduction cells, also called pots or Hall-Héroult cells.
- a Hall-Héroult cell includes an electrolyte containing alumina. An electrical current passes through the solution between a carbon anode and a carbon cathode, causing a chemical reaction between alumina and carbon, yielding carbon dioxide gas and aluminum.
- Hall-Héroult-cells are often equipped with relatively few sensors due to such problems. Consequently, sensed data that could yield improvements in cell-energy efficiency is often unavailable.
- Embodiments of the invention provide a sensing system for sensing conditions or characteristics associated with a process or thing, such as, but not limited to, an aluminum-reduction process occurring in a Hall-Héroult cell.
- the sensing system includes one or more energy converters, which may include a thermoelectric generator.
- the sensing system further includes at least one sensor that is coupled to the process or thing (i.e., the “sensed system,” as distinct from the “sensing system”).
- a node which is associated with a wireless transmitter/receiver or a mote processor radio, is coupled to the sensor and the energy-converter. The node is powered by output from the energy converter, which is also coupled to the process or thing.
- Energy can be obtained from any suitable property, characteristic or effect of the sensed system.
- heat, vibration, chemical, electrical, magnetic, electromagnetic, nuclear, gravitational, or other characteristics of the sensed system may be used as an energy source. Differentials in temperature, pressure, electrical charge, acidity, flux, etc., can be used to derive energy for powering various components or functions in various embodiments of the invention.
- One or more characteristics of the sensed system can be used to provide a power source to one or more sensors, nodes or other components. Components can sense characteristics that are the same or different from the characteristics used to provide power.
- the node includes a controller that implements one or more routines for selectively adjusting power to a wireless transmitter of the node in response to a predetermined condition.
- the predetermined condition may specify that sensor output values are within a predetermined range or below or above a predetermined threshold.
- the predetermined condition may specify that electrical energy output from the energy converter is below a predetermined threshold.
- a remote computer may include one or more routines that are adapted to process information output by the sensor and forwarded to the computer by the transmitter included in the node.
- the system includes an apparatus comprising: a sensor for sensing a characteristic of a process; a thermoelectric generator having first and second temperature sources, wherein the first temperature source is obtained from the material or object being sensed by the sensor; and a wireless transmitter coupled to the thermoelectric generator and the sensor, wherein the wireless transmitter obtains power from the thermoelectric generator for transmitting an indication of the sensed characteristic from the sensor to a receiver.
- thermoelectric generator to generate electrical energy, wherein the thermoelectric generator obtains heat from a source; using a sensor to measure a characteristic of the source; and using a wireless transmitter powered by the electrical energy to transmit the measured characteristic.
- thermoelectric generator attaching (e.g. with a magnet) the thermoelectric generator to a hot surface on the cell exterior so as to provide electrical power to a sensor/wireless transmitter that is integral with the generator or nearby and electrically connected to it, the sensor measuring some process variable such as the heat flux from the exterior of the cell.
- embodiments of the present invention provide an efficiently powered sensing system that obviates the need for potentially dangerous wires and power sources.
- Embodiments of the present invention may provide a relatively safe and cost-effective sensing platform that provides minimal interference with accompanying plant operations.
- the sensing system may reduce energy consumption and associated costs by efficiently utilizing waste energy from existing processes.
- FIG. 1 is a diagram of a sensing system adapted for use with Hall-Héroult cell according to a first embodiment of the present invention.
- FIG. 2 is a diagram illustrating a second embodiment of the present invention adapted for use with a Hall-Héroult cell.
- FIG. 3 is a diagram illustrating a third embodiment of the present invention adapted for use with a Hall-Héroult potline.
- FIG. 4 is flow diagram of a method adapted for use with the embodiments of FIGS. 2-3 .
- FIG. 1 is a diagram of a sensing system 10 adapted for use with Hall-Héroult cell 12 according to a first embodiment of the present invention.
- the system 10 includes a sensor node 14 in communication with a computer 16 , a cell-voltage-measuring device 18 , a thermistor, thermocouple, or other temperature measurement device 20 , and a thermoelectric generator assembly 22 .
- the sensor node 14 includes a node controller 24 , which communicates with a power converter 26 and receives input from an Analog-to-Digital Converter (ADC) 28 .
- the node controller 24 also communicates with a node transceiver 30 .
- the node controller 24 , transceiver 30 , and ADC 28 are powered by output from the power converter 26 .
- the node transceiver 30 implements a wireless transmitter and receiver for transmitting and receiving wireless signals to and from a computer transceiver 68 of the computer 16 .
- One skilled in the art may implement the power converter 26 via a step-up DC-DC converter.
- the controller 30 runs various software and/or hardware, including a Tiny OS (Operating System) 34 , which supports Tiny DB (DataBase) 36 .
- the power converter 26 receives control signals 32 from the controller 34 , which may be generated via various routines, including Tiny DB routines 36 , that selectively control power output from the power converter 26 to the transceiver 30 , ADC 28 , and various sensors 18 , 20 , as discussed more fully below.
- the node controller 24 employs custom software running on the Tiny OS 34 , which implements the Tiny-DB Application Programming Interface (API) software 36 and further executes the following actions, which also accommodate sensing systems with multiple nodes as discussed more fully below:
- API Application Programming Interface
- the Tiny DB 36 may implement a query processing system for extracting information from a network of nodes, as discussed more fully below, of which the sensor node 14 may be a part.
- the Tiny DB 36 may be implemented via a readily available programmable application that provides various features including:
- the power converter 26 receives input 66 from a thermoelectric generator layer 38 that is sandwiched between a hot plate 40 and a heat sink 42 of the thermoelectric generator assembly 22 .
- the hot plate 40 , heat sink 42 , and thermoelectric generator layer 38 may be attached to the object or system being sensed by magnets 44 .
- the power converter 26 is also shown receiving input 52 , 54 from the cell-voltage-measuring device 18 .
- the ADC 28 receives analog input 50 , 52 , 54 from sensors, including the temperature measuring device 20 , which acts as a temperature sensor, and the cell-voltage measuring device 18 , which acts as a voltage and/or current sensor.
- the cell-voltage-measuring device 18 also provides electrical energy 54 to the power converter 18 to facilitate powering the node 14 and accompanying sensor 20 as needed.
- the ADC 28 converts analog inputs 50 , 52 , 54 into digital signals, which are provided to the node controller 24 .
- the node controller 24 may store resulting digitized sensed data 70 and/or may forward the sensed data 70 to the computer 16 .
- the analog inputs 50 , 52 , 54 include cell current 52 and cell voltage 54 between an anode conductor 56 and a cathode conductor 58 of the cell 12 .
- the analog inputs 50 , 52 , 54 further include sensed temperature data 50 from the thermistor 20 .
- the hot plate 40 of the thermoelectric generator assembly 22 is thermally coupled to thermally conductive extension 46 , which may be constructed via various materials, such as, but not limited to, copper.
- the extension 46 extends from the hot plate 40 to within an exhaust duct 48 of the cell 12 and conducts heat therebetween.
- the thermistor 20 is connected to the end of the conductive extension 46 and is exposed to the interior of the exhaust duct 48 .
- Sensed temperature data 50 pertaining to the temperature inside the exhaust duct 48 is forwarded to the ADC 28 of the node 14 .
- the computer 16 includes a user interface 60 and sensor-network software 62 , including cell-analysis routines 64 for selectively querying the sensor node 14 ; for analyzing sensed data from the sensor node 14 ; for implementing Application Programming Interfaces (API ⁇ dot over (s) ⁇ ); for implementing server functions; for enabling programmability via Java®, and so on.
- API ⁇ dot over (s) ⁇ Application Programming Interfaces
- server functions for enabling programmability via Java®, and so on.
- Exact details of the functionality and hardware and/or software 62 of the computer 16 are application-specific and may be adjusted by those skilled in the art without departing from the scope of the present invention.
- Exact connection details between modules are application specific and may be changed to meet the needs of a given application without departing from the scope of the present invention.
- output from the cell-voltage-measuring device 18 may not be input to the power converter 26 of the node 14 in certain applications.
- some modules may be omitted, or the locations of certain modules may be changed without departing from the scope of the present invention.
- the cell-voltage-measuring device 18 may be omitted and/or the power converter 18 may be positioned separately from the node 14 .
- thermoelectric generator assembly 22 converts heat energy from within the exhaust duct 48 into electrical energy, which is provided to the power converter 18 of the node 14 via a power signal 66 .
- electrical energy may be any energy provided via electrical current, a voltage differential, or via a wireless electromagnetic energy.
- the hot plate 40 and the relatively cool heat sink 42 provide a sufficient temperature differential to enable the thermoelectric generator layer 38 to provide sufficient output power to power the node 14 .
- Power provided by the thermoelectric generator assembly 22 may also be used to power sensors, such as the thermistor 46 , which may require additional power input, as discussed more fully below.
- the node controller 24 runs routines for controlling the power, i.e., electrical energy provided to the node transceiver 30 based on sensed data reported from the sensors 18 , 20 , power levels provided by the thermoelectric generator assembly 22 , and so on.
- the node controller 24 may run routines for only powering-on the transceiver 30 when sensed data from the sensors 18 and/or the power levels provided by the thermoelectric generator assembly 22 meet predetermined criteria as discussed more fully below. Such criteria may be adjusted to meet the needs of a given application.
- the software running on the node controller 24 may be programmed via an external computer, such as the computer 16 , that may plug into the node 14 or may otherwise wirelessly communicate with the node 14 .
- an external computer such as the computer 16
- Tiny OS 34 and accompanying Java® functionality facilitate node programmability.
- the system 10 implements a system for obtaining information pertaining to a process or thing.
- the process is a Hall-Héroult aluminum-reduction process implemented via the cell 12 .
- the system 10 implements a first mechanism 22 for employing energy from the Hall-Héroult aluminum-reduction process to generate a signal corresponding to the power signal 66 and/or the voltage signal 54 output by the thermoelectric generator assembly 22 and/or the cell-voltage measuring device 18 , respectively.
- a power signal may be any signal sufficient to power a circuit or other device. Power represents electrical energy per unit time.
- a second mechanism 18 , 20 senses a condition pertaining to the process or thing 12 and provides sensed information 50 , 52 , 54 in response thereto.
- a third mechanism 14 , 16 collects the sensed information.
- a fourth mechanism 18 employs the signal 54 , 66 to power the second mechanism 20 and/or the third mechanism 14 , 16 as needed.
- the third mechanism 14 , 16 includes the sensor node 14 .
- a sensor node may be any device that communicates with one or more other devices via one or more communications links, where the device is connected to a sensor.
- waste energy may be any energy that is not fully utilized by a process or device.
- waste energy include, but are not limited to, excess heat, vibration, and gas pressure associated with an alumina reduction cell, such as the cell 12 .
- the waste energy employed by the system 10 is heat energy from the exhaust duct 48 and/or excess electrical energy from the cell 12 as provided by the cell-voltage-measuring device 18 .
- Other types and/or sources of energy may be employed by the system 10 without departing from the scope thereof.
- other forms of waste heat such as heat conducted through walls or the bottom of the cell 12 may be employed to generate electrical energy.
- thermistor 20 Various sensors may be included addition to the temperature sensor, i.e., thermistor 20 , and the voltage sensor 18 as discussed more fully below.
- additional sensors include a chemical sensor, a gas-flow sensor, a voltage sensor, and/or a current sensor.
- the node controller 24 runs software 34 , 36 , which is adapted to selectively adjust power to the wireless transceiver 30 based on one or more predetermined conditions.
- the predetermined conditions include a power level associated with the power signal 66 being below a predetermined threshold. When this occurs, the power provided to the node transceiver 30 is reduced or shut off.
- the predetermined conditions may also include sensor-output status.
- sensor-output status may include information pertaining to the output of a sensor, including magnitudes of sensed-data values, existence of sensed data, sensed-data values as compared to specific thresholds, and so on.
- the controller 34 may adjust or calibrate various operating conditions or parameters of the node 14 and/or accompanying sensors 18 , 20 to bring temperature measurements within range.
- parameters include transmit power, data-reporting times, temperature values, types of data reported, and so on.
- the present embodiment addresses various concerns prevalent in many alumina-reduction plants. Such concerns mandate: minimizing costs for each sensing system for each cell, since a given plant may have multiple cells; maximizing safety, since dangerously high temperatures may exist within and around cells and since problems associated with placing wires carrying signals can potentially lead to dangerous voltages nearing a thousand volts; labor and costs associated with placing wires should be minimized; and use of bulky batteries and wall-socket power sources should be minimized, since use of such power sources may present a substantial operating nuisance and expense when large numbers of cells and sensing systems are considered.
- the sensing system 10 of FIG. 1 addresses these issues by providing a cost-effective and relatively safe wireless sensing system 10 that is efficiently powered by waste energy or other energy inherent in the alumina-reduction process.
- the sensing system 10 may provide various additional benefits. For example, one can deduce electrolyte ledge thickness (not shown) within the cell 12 through heat flux measurements provided by the thermistor 20 , which may be considered a heat flux sensor. Accurate determination of the thickness of an electrolyte ledge formed within the cell 12 may facilitate predicting failure of the cell 12 .
- An exemplary MRP is the standard mica2 mote, which is supplied by Crossbow Technology, Inc., model # MPR400 ( FIG. 1 a ).
- the MPR400 comes standard with a 10 bit ADC converter ( ⁇ 3 mV precision), Digital Input/Output, Universal Asynchronous Receiver and Transmitter (UART), 3 Light-Emitting-Diodes (LEDs), a Frequency-Modulation (FM) tunable radio, Flash Data Logger Memory (FDLM), and a basic whip antenna. Without obstructions, the mica 2s purportedly can transmit data up to 500 feet away. Standard 2 AA batteries and a battery holder that accompany the mica2s may be removed for embodiments of the present invention.
- motes or nodes other than mica2s, may be employed to implement embodiments of the present invention without departing from the scope thereof.
- those skilled in the art may custom build the node 14 to meet the needs of a given application.
- FIG. 1 illustrates a basic configuration of a temperature sensor 20 and associated transmitter 30 that are powered by waste heat from the exhaust duct 48 .
- the thermoelectric generator layer 38 is positioned between the hot plate 40 and heat sink 42 .
- the hot plate 40 is thermally coupled to the exterior of the exhaust duct 48 and to the extension 46 .
- the extension 46 extends to within the interior of the exhaust duct 48 .
- the exhaust duct 48 is used to convey hot gases that are produced during an electrochemical aluminum production process.
- the thermoelectric generator layer 38 is coupled between a temperature gradient created by the heat conducted to the hot plate 40 , and a cooler temperature created as a result of the heat sink 42 .
- the thermoelectric generator layer 38 uses the temperature difference to generate electric energy.
- the thermistor 20 is attached to the end of the extension 46 and is used to measure the temperature of gas inside of the duct 48 . This temperature measurement can be used to improve the efficiency of the aluminum production process, detect hazardous conditions, or for other purposes. Both the electrical outputs 52 , 54 of the thermoelectric generator layer 38 and the signal 50 output of the thermistor 20 are provided to the node 14 .
- the node 14 includes wireless communication electronics 30 to convey the measurement from the thermistor 20 to the computer system 16 for further analysis.
- the conveyance of sensor readings, such as temperature measurements provided by the thermistor 20 can be by any suitable means, wired or wireless.
- other types of sensors such as blackbody radiation sensors, which are not disclosed herein, can be used.
- FIG. 2 is a diagram illustrating a second embodiment 80 of the present invention that is adapted for use with a Hall-Héroult cell (see 12 of FIG. 4 ) of which a cross-section of the exhaust duct 48 is shown in FIG. 2 .
- the sensing system 80 includes an alternative sensor node 82 that includes an alternative multi-function controller 84 and transceiver 86 .
- the multi-function controller 84 is powered by an alternative thermoelectric generator assembly 88 .
- the curved hot plate 92 conforms to the shape of the exterior surface of the exhaust duct 48 .
- the thermoelectric generator assembly 88 further includes an alternative thermoelectric generator layer 94 that is sandwiched between the curved hot plate 92 and a special heat sink 96 .
- the special heat sink 96 is shown including crosscut cooling fins 98 .
- the thermoelectric generator layer 94 employs a temperature difference between the hot plate 92 and the heat sink 96 to generate a power signal 100 , which provides power to the multi-function node controller 84 .
- the multi-function node controller 84 incorporates a DC/DC power converter that receives the varying power signal 100 and provides stable power to power the controller 84 in response thereto.
- the multi-function controller 84 is shown selectively providing power and control signals (pwr./ctrl.) 102 - 110 to a thermistor plug 112 , a flow sensor 114 , a chemical sensor 116 , a vibration sensor/transducer 118 , and a pressure sensor 120 , respectively.
- the sensors 112 - 120 are connected to and/or penetrate into the exhaust duct 48 as needed to take sensor measurements, such as chemical, gas-flow, heat flux measurements, vibration, and pressure measurements.
- the multi-function controller 84 receives sensed data, such as chemical, gas-flow, temperature, vibration, and pressure measurements 122 - 130 , respectively, from the sensors 112 - 120 , respectively.
- the thermistor 112 may provide heat flux measurements in addition to temperature measurements. Alternatively, heat flux measurements are provided to the multi-function node controller 84 by the TEG layer 94 .
- the multi-function controller 84 selectively queries the sensors 112 - 120 for sensed data as needed in response to queries/control signals 123 received by the node 82 from the computer 16 and forwarded to the sensors 112 - 120 .
- the computer 16 may also forward a control signal 123 to the multi-function controller 84 directing the multi-function controller 84 to adjust the power provided to one or more of the sensors 112 .
- the multi-function controller 84 selectively provides power to the sensors 112 - 120 when corresponding sensed data needs to be received by the node 82 , such as in response to queries from the computer 16 or in response to predetermined criteria.
- the multi-function controller 84 may be configured to periodically power-on one or more of the sensors 112 - 120 to receive corresponding sensed data.
- sensed data may be any information corresponding to measurements taken by a sensor, such as one or more of the sensors 112 - 120 .
- the multi-function controller 84 and sensors 112 - 120 may be configured so that the multi-function controller 84 continuously receives sensed data from the sensors 112 - 120 , not just periodically or in response to queries, without departing from the scope of the present invention. Furthermore, the multi-function controller 84 may implement one or more routines that cause sensed data from one or more of the sensors 112 - 120 to only be stored by the node 82 and/or forwarded to the computer 16 when certain criteria are met. For example, if sensed data surpass predetermined thresholds or fall within predetermined thresholds as determined by the multi-function controller 84 , then the data may be collected along with time stamps indicating when the measurements were received by the multi-function controller 84 .
- the multi-function controller 84 may be configured to wirelessly transmit an alarm signal to the computer 16 when the temperature within the exhaust duct 48 surpasses a predetermined maximum temperature threshold.
- the multi-function controller 84 may also be configured to power-off certain sensors 112 - 120 when power levels output by the thermoelectric generator assembly 88 are insufficient to power all of the sensors 112 - 120 .
- various sensors such as the vibration sensor 118 and the pressure sensor 120 can provide operational data about the process, which is then linked to the multi-function controller 84 .
- Such sensors can be powered by conventional batteries.
- energy scavenging from heat, vibration or pressure differential could be used to power the various kinds of sensor.
- various sensors 112 - 120 may be powered by scavenging waste heat or vibration from the alumina-reduction process occurring within the Hall-Héroult cell 12 (see FIG. 1 ).
- the sensing system 80 of FIG. 2 implements a system for obtaining information pertaining to a process or thing, such as an aluminum-reduction process occurring in the Hall-Héroult cell 12 of FIG. 1 .
- the sensing system 80 includes one or more energy converters implemented by the thermoelectric generator assembly 88 and one or more of the sensors 112 - 120 .
- an energy converter may be any device that is adapted to convert energy from a process or thing, such as a process or device being measured, into energy suitable for use by a circuit or associated device, such as the node 82 and one or more of the sensors 122 - 120 , respectively.
- the sensing system 80 further includes a sensor, such as one or more of the sensors 122 - 120 , coupled to the process or thing 48 .
- the node 82 is coupled to the sensor 112 - 120 and the energy-converter 88 , wherein the node 82 is powered by output from the energy converter 88 .
- the multi-function controller 84 implements one or more routines for selectively adjusting power to the wireless transmitter 86 of the node 82 in response to a predetermined condition, such as values output from the sensor 112 - 120 being within a predetermined range or below or above a predetermined threshold.
- the predetermined condition may include electrical energy 100 , which is output from the energy converter 88 , being below a predetermined threshold.
- the remote computer 16 may include one or more routines 64 that are adapted to process information output by the sensor 112 - 120 .
- FIG. 3 is a diagram illustrating a third embodiment 140 of the present invention that is adapted for use with a Hall-Héroult potline 142 .
- the potline 142 includes plural Hall-Héroult cells 144 - 148 , which are connected in series.
- Plural sensor nodes 14 , 82 , 154 are connected to or otherwise are configured to obtain sensed data associated with the cells 144 - 148 , respectively, from corresponding sensors (see FIGS. 1 and 2 ).
- the sensed data may be wirelessly forwarded to the computer 16 directly.
- certain nodes such as the second node 82 and the third node 154 may act as relays to relay signaling information, such as, but not limited to, sensed data from other nodes, such as the first node 14 and/or the second node 82 .
- the first node 14 may transmit information to the third node 154 , thereby hopping the second node 82 .
- the second node 82 may transmit directly to the computer 16 , thereby hopping the third node 154 .
- the first node 14 may communicate directly with the computer 16 , thereby hopping the second node 82 and the third node 154 .
- Exact details and conditions pertaining to which nodes are hopped are application specific. Functionality required to implement node hopping is known in the art and may be readily employed in the nodes 14 , 82 , 154 by those skilled in the art with access to the present teachings without undue experimentation.
- Use of the wireless nodes 14 , 82 , 154 which do not require separate bulky battery packs or wall-outlet extension cords, greatly facilitates instrumentation of the potline 142 .
- Use of the sensing system 140 may improve the ability of alumina-reduction plants to safely and accurately monitor Hall-Héroult cell processes, thereby providing valuable information that may be used to improve aluminum manufacturing.
- FIG. 4 is flow diagram of a method 160 adapted for use with the embodiments of FIGS. 2-3 .
- the method 160 includes an initial environment-determination step 162 , wherein the nature of the process, device, or object being sensed is determined.
- thermoelectric generator such as the thermoelectric generator 88 of FIG. 2 , is selected for use in an associated sensing system in a thermoelectric-generator-selecting step 164 .
- a pressure transducer such as the transducer 120 of FIG. 2 , is selected for use in an associated sensing system in a transducer-selecting step 166 .
- a vibration transducer such as the vibration transducer 118 of FIG. 2 , is selected for use in an associated sensing system in a vibration-converting step 170 .
- an electrical power converter such as the cell-voltage measuring device 18 and converter 26 of FIG. 1 , are selected for use in an associated sensing system in a power-converter-selecting step 168 .
- an energy-utilizing step 172 is performed.
- the energy-utilizing step 172 involves using power and/or electrical-energy from the thermoelectric generator, the pressure transducer, and/or the power converter selected in the selecting steps 164 - 168 to power one or more sensors that are adapted to sense conditions or characteristics pertaining to the process or thing being sensed.
- the energy-utilizing step 172 also involves using power and/or electrical-energy to power a circuit, such as a node, for collecting and/or coordinating the transmission of sensed data output from the sensors.
- the energy-utilizing step 172 also involves using power and/or electrical-energy to power a communications module, such as the node transceiver 80 of FIG. 2 , to selectively transmit the sensed data to another node and/or to remote computer, such as the computer 17 of FIGS. 1-3 .
- FIGS. 1-4 While embodiments of the present invention have been discussed with respect to specific arrangements of sensors, nodes, and computers, embodiments of the present invention are not limited thereto. Sensors, nodes, heat sinks, thermoelectric generators and other components can be used in different arrangements. For example, various sensors maybe mounted onto a different portion of the cell 12 other than the exhaust duct 48 . Furthermore, the invention can be adapted to work with processes other than aluminum reduction.
- the electrical energy generation may be achieved via various types of energy converters other than thermoelectric generators, pressure transducers, and so on.
- wireless transmission can be used to monitor any suitable process or condition.
- embodiments of the invention can be adapted to work with other electrochemical processes including modifications to an aluminum reduction process.
- nodes can be used to relay information to other nodes and eventually to a central processing station such as the computer 16 (or other processing system) as described in the attached Papers.
- IEEE Institute of Electrical and Electronics Engineers
- 802.11x where “x” may be “b”, “g”, etc.
- 802.16, and Bluetooth Nodes can be used to relay information to other nodes and eventually to a central processing station such as the computer 16 (or other processing system) as described in the attached Papers.
- the sensors can be of various types, sizes, mountings, or other characteristics. For example, position, temperature, moisture or humidity, gas pressure, force, light, and other sensors can all be used.
- a single node can have multiple sensors and different nodes can use different numbers and types of sensors than other nodes.
- sensor characteristics such as sensitivity, ruggedness, sample rate, power consumption, transmit/receive range, etc., may be more critical than others.
- Nodes can have pre-programmed behavior so that the need for transmitting commands to a node is reduced. Another option is to allow each node to be reprogrammable so that node behavior, such as sensor sampling rate, transmit range, communications relay ability, etc., can be adjusted from a control center. Node firmware and software can be downloaded to each node from a control center, server or other device.
- One embodiment of the invention can-use a base station to send and receive signals among a network of nodes.
- the base station can be configured to perform different functions such as aggregating and correlating data, filtering data, monitoring nodes, etc.
- the base station which may be implemented via the computer 16 of FIGS. 1 and 2 , can act as a central radio-frequency receiver/transmitter and relay information to other processing-system servers which, in turn, can provide data from the nodes to other client computer systems.
- Client systems can operate automatically or in interaction with human operators to analyze data, monitor and report on conditions, make predictions and issue commands to the nodes.
- Base station coverage can overlap to provide robustness via redundancy. Such overlapping coverage can also improve overall bandwidth of communications from and to nodes.
- Sensors on nodes can be prioritized so that if there is a lack of resources (e.g., limited bandwidth), the sensor readings with higher priority can be communicated first. Data of sensor types with lower priority can be buffered and transmitted when there is free bandwidth at a later time, or discarded and not sent at all. If a node starts to become low on power, sensors with higher priority can remain active while lower priority sensors are shut down.
- resources e.g., limited bandwidth
- Sensing can be triggered or controlled or modified in reaction to events or other criteria. For example, where a sensor reading is within an expected “normal” range then a node can be programmed to report infrequently. If readings exceed a threshold value then the node can send readings or an alert message at a high priority. The node can begin sampling more frequently and give the appropriate sensor a higher priority. When the condition becomes safe (i.e., does not exceed the threshold) the node and sensing operation can go back to the previous state.
- One sensor's reading can be used to modify the operation and reporting of other sensors. For example, if temperature increases, then gas flow monitoring can be increased in frequency, reporting priority, etc.
- sensors include imaging sensors (e.g., cameras), infrared sensing, etc.
- Any software applications or functionality can be provided at the node, base station, servers and/or clients. It is anticipated that third-party commercial software can be used to perform functions such as database storage and retrieval, data transfer, data analysis, operating system functions, etc.
- one type of useful configuration is a relay system that can use an electric generator and a receiver/transmitter node to receive a signal from an originating node and to relay it to another receiver that may be too distant too communicate directly with the originating node.
- routines or other instructions employed by various network entities can be implemented using any suitable programming language.
- Exemplary programming languages include nesC, C++, Java, assembly language, etc.
- Different programming techniques can be employed such as procedural or object oriented.
- the routines can execute on a single processing device or multiple processors. Although the steps, operations or computations may be presented in a specific order, this order may be changed in different embodiments. In some embodiments, multiple steps shown as sequential in this specification can be performed simultaneously.
- a “machine-readable medium” or “computer-readable medium” for purposes of embodiments of the present invention may be any medium that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, system or device.
- the computer readable medium can be, by way of example only but not by limitation, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, device, propagation medium, or computer memory.
- a “processor” or software “process” includes any human, hardware and/or software system, mechanism or component that processes data, signals or other information.
- a processor can include a system with a general-purpose central processing unit, multiple processing units, dedicated circuitry for achieving functionality, or other systems. Processing need not be limited to a geographic location, or have temporal limitations. For example, a processor can perform its functions in “real time,” “offline,” in a “batch mode,” etc. Portions of processing can be performed at different times and at different locations, by different (or the same) processing systems.
- a computer may be any processor in communication with a memory.
- any signal arrows in the drawings/figures should be considered only as exemplary, and not limiting, unless otherwise specifically noted.
- the term “or” as used herein is generally intended to mean “and/or” unless otherwise indicated. Combinations of components or steps will also be considered as being noted, where terminology is foreseen as rendering the ability to separate or combine is unclear.
Landscapes
- Chemical & Material Sciences (AREA)
- Engineering & Computer Science (AREA)
- Chemical Kinetics & Catalysis (AREA)
- Electrochemistry (AREA)
- Materials Engineering (AREA)
- Metallurgy (AREA)
- Organic Chemistry (AREA)
- Arrangements For Transmission Of Measured Signals (AREA)
Abstract
Description
- This invention claims priority from U.S. Provisional Patent Application Ser. No. 60/647,176 entitled WIRELESS MEASUREMENT OF OPERATING PARAMETERS, filed on Jan. 25, 2005 which is hereby incorporated by reference as if set forth in full in this application for all purposes.
- This invention is related in general to sensing systems and more specifically to networks used to sense conditions or characteristics associated with a process or thing.
- Sensing systems are employed in various demanding applications including alumina-processing plant instrumentation, wildfire detection and monitoring; and weather monitoring and forecasting. Such applications often demand versatile sensing systems that can readily provide valuable information to improve predictions, manufacturing techniques, and so on.
- Versatile and efficient sensing systems are particularly important in aluminum oxide (alumina) processing applications, where extreme operating conditions involving high voltages and temperatures often preclude use of potentially unsafe, bulky, or cumbersome sensing systems. An exemplary alumina-processing plant includes plural aluminum-reduction cells, also called pots or Hall-Héroult cells. A Hall-Héroult cell includes an electrolyte containing alumina. An electrical current passes through the solution between a carbon anode and a carbon cathode, causing a chemical reaction between alumina and carbon, yielding carbon dioxide gas and aluminum.
- Unfortunately, conventional sensor systems for measuring Hall-Héroult cell process characteristics, such as temperature, cell voltage, exhaust-gas pressure, and so on, often require wires that connect the sensors to one or more computers. Additional wires connect the sensors to power sources. The hardware required to implement such sensing systems in Hall-Héroult-cell applications may create safety concerns, interfere with existing hardware, require excessive maintenance, and consume excessive power.
- Accordingly, Hall-Héroult-cells are often equipped with relatively few sensors due to such problems. Consequently, sensed data that could yield improvements in cell-energy efficiency is often unavailable.
- Embodiments of the invention provide a sensing system for sensing conditions or characteristics associated with a process or thing, such as, but not limited to, an aluminum-reduction process occurring in a Hall-Héroult cell. The sensing system includes one or more energy converters, which may include a thermoelectric generator. The sensing system further includes at least one sensor that is coupled to the process or thing (i.e., the “sensed system,” as distinct from the “sensing system”). A node, which is associated with a wireless transmitter/receiver or a mote processor radio, is coupled to the sensor and the energy-converter. The node is powered by output from the energy converter, which is also coupled to the process or thing.
- Energy can be obtained from any suitable property, characteristic or effect of the sensed system. For example, heat, vibration, chemical, electrical, magnetic, electromagnetic, nuclear, gravitational, or other characteristics of the sensed system may be used as an energy source. Differentials in temperature, pressure, electrical charge, acidity, flux, etc., can be used to derive energy for powering various components or functions in various embodiments of the invention. One or more characteristics of the sensed system can be used to provide a power source to one or more sensors, nodes or other components. Components can sense characteristics that are the same or different from the characteristics used to provide power.
- In the specific embodiment, the node includes a controller that implements one or more routines for selectively adjusting power to a wireless transmitter of the node in response to a predetermined condition. The predetermined condition may specify that sensor output values are within a predetermined range or below or above a predetermined threshold. Alternatively, the predetermined condition may specify that electrical energy output from the energy converter is below a predetermined threshold. A remote computer may include one or more routines that are adapted to process information output by the sensor and forwarded to the computer by the transmitter included in the node.
- In a more specific embodiment, the system includes an apparatus comprising: a sensor for sensing a characteristic of a process; a thermoelectric generator having first and second temperature sources, wherein the first temperature source is obtained from the material or object being sensed by the sensor; and a wireless transmitter coupled to the thermoelectric generator and the sensor, wherein the wireless transmitter obtains power from the thermoelectric generator for transmitting an indication of the sensed characteristic from the sensor to a receiver.
- Another embodiment provides a method for obtaining a sensor reading, the method comprising: using a thermoelectric generator to generate electrical energy, wherein the thermoelectric generator obtains heat from a source; using a sensor to measure a characteristic of the source; and using a wireless transmitter powered by the electrical energy to transmit the measured characteristic.
- Another embodiment includes attaching (e.g. with a magnet) the thermoelectric generator to a hot surface on the cell exterior so as to provide electrical power to a sensor/wireless transmitter that is integral with the generator or nearby and electrically connected to it, the sensor measuring some process variable such as the heat flux from the exterior of the cell.
- Hence, embodiments of the present invention provide an efficiently powered sensing system that obviates the need for potentially dangerous wires and power sources. Embodiments of the present invention may provide a relatively safe and cost-effective sensing platform that provides minimal interference with accompanying plant operations. Furthermore, the sensing system may reduce energy consumption and associated costs by efficiently utilizing waste energy from existing processes.
-
FIG. 1 is a diagram of a sensing system adapted for use with Hall-Héroult cell according to a first embodiment of the present invention. -
FIG. 2 is a diagram illustrating a second embodiment of the present invention adapted for use with a Hall-Héroult cell. -
FIG. 3 is a diagram illustrating a third embodiment of the present invention adapted for use with a Hall-Héroult potline. -
FIG. 4 is flow diagram of a method adapted for use with the embodiments ofFIGS. 2-3 . - For clarity, various well-known components, such as amplifiers, communications ports, Internet Service Providers (ISPs), and so on have been omitted from the figures. However, those skilled in the art with access to the present teachings will know which components to implement and how to implement them to meet the needs of a given application.
-
FIG. 1 is a diagram of asensing system 10 adapted for use with Hall-Héroultcell 12 according to a first embodiment of the present invention. In the present specific embodiment, thesystem 10 includes asensor node 14 in communication with acomputer 16, a cell-voltage-measuring device 18, a thermistor, thermocouple, or othertemperature measurement device 20, and athermoelectric generator assembly 22. - The
sensor node 14 includes anode controller 24, which communicates with apower converter 26 and receives input from an Analog-to-Digital Converter (ADC) 28. Thenode controller 24 also communicates with a node transceiver 30. Thenode controller 24, transceiver 30, and ADC 28 are powered by output from thepower converter 26. The node transceiver 30 implements a wireless transmitter and receiver for transmitting and receiving wireless signals to and from acomputer transceiver 68 of thecomputer 16. One skilled in the art may implement thepower converter 26 via a step-up DC-DC converter. - In the present specific embodiment, the controller 30 runs various software and/or hardware, including a Tiny OS (Operating System) 34, which supports Tiny DB (DataBase) 36. The
power converter 26 receivescontrol signals 32 from thecontroller 34, which may be generated via various routines, including Tiny DBroutines 36, that selectively control power output from thepower converter 26 to the transceiver 30,ADC 28, andvarious sensors - In the present specific embodiment, the
node controller 24 employs custom software running on the Tiny OS 34, which implements the Tiny-DB Application Programming Interface (API)software 36 and further executes the following actions, which also accommodate sensing systems with multiple nodes as discussed more fully below: - 1) Presents a setup Graphical User Interface (GUI) for a user to select and input various variables (such as, but not limited to, sampling frequency, etc.), and to select process parameters, such as temperature, to monitor.
- 2) Displays received data from each node, including the date and time, query number, each node's identification number, selected process parameters, thermoelectric generator power output information, and information pertaining to a parent node over which the node hopped across to reach the
computer 16 as discussed more fully below. - 3) Stores the received data into a spreadsheet format and/or text file.
- 4) Creates a new file for every 12 hours and statistically analyzes the previous file.
- 5) May run three separate GUIs that a) display the current node statistics, b) illustrate a real-time network visualization between each node and the
central computer 16, and c) allow the operator to monitor an individual node's sensed values over a specified period of time. - The Tiny DB 36 may implement a query processing system for extracting information from a network of nodes, as discussed more fully below, of which the
sensor node 14 may be a part. The Tiny DB 36 may be implemented via a readily available programmable application that provides various features including: - 1) Does not require a programmer to write embedded C code for sensors.
- 2) Presents a simple language for extracting data
- 3) Provides a Java API (Application Programming Interface) for simplifying the coding of Personal-Computer (PC) applications.
- 4) Provides the ability to autonomously network an ad-hoc assortment of nodes and to route data from the nodes via hopping to a central server, such as the
computer 16. - 5) Provides power-efficient algorithms which place an accompanying node, such as the
sensor node 14, automatically into a low-power sleep mode when the node is not collecting, transmitting, or receiving data. - The
power converter 26 receivesinput 66 from athermoelectric generator layer 38 that is sandwiched between ahot plate 40 and a heat sink 42 of thethermoelectric generator assembly 22. Thehot plate 40, heat sink 42, andthermoelectric generator layer 38 may be attached to the object or system being sensed bymagnets 44. For illustrative purposes, thepower converter 26 is also shown receivinginput device 18. - The
ADC 28 receivesanalog input temperature measuring device 20, which acts as a temperature sensor, and the cell-voltage measuring device 18, which acts as a voltage and/or current sensor. In an alternative operative scenario, the cell-voltage-measuringdevice 18 also provideselectrical energy 54 to thepower converter 18 to facilitate powering thenode 14 and accompanyingsensor 20 as needed. - The
ADC 28 convertsanalog inputs node controller 24. Thenode controller 24 may store resulting digitized senseddata 70 and/or may forward the senseddata 70 to thecomputer 16. In the present specific embodiment, theanalog inputs cell voltage 54 between ananode conductor 56 and acathode conductor 58 of thecell 12. Theanalog inputs temperature data 50 from thethermistor 20. - The
hot plate 40 of thethermoelectric generator assembly 22 is thermally coupled to thermally conductive extension 46, which may be constructed via various materials, such as, but not limited to, copper. The extension 46 extends from thehot plate 40 to within anexhaust duct 48 of thecell 12 and conducts heat therebetween. Thethermistor 20 is connected to the end of the conductive extension 46 and is exposed to the interior of theexhaust duct 48. Sensedtemperature data 50 pertaining to the temperature inside theexhaust duct 48 is forwarded to theADC 28 of thenode 14. - The
computer 16 includes auser interface 60 and sensor-network software 62, including cell-analysis routines 64 for selectively querying thesensor node 14; for analyzing sensed data from thesensor node 14; for implementing Application Programming Interfaces (API{dot over (s)}); for implementing server functions; for enabling programmability via Java®, and so on. Exact details of the functionality and hardware and/orsoftware 62 of thecomputer 16 are application-specific and may be adjusted by those skilled in the art without departing from the scope of the present invention. - Exact connection details between modules, such as
modules device 18 may not be input to thepower converter 26 of thenode 14 in certain applications. Furthermore, some modules may be omitted, or the locations of certain modules may be changed without departing from the scope of the present invention. For example, the cell-voltage-measuringdevice 18 may be omitted and/or thepower converter 18 may be positioned separately from thenode 14. - In operation, the
thermoelectric generator assembly 22 converts heat energy from within theexhaust duct 48 into electrical energy, which is provided to thepower converter 18 of thenode 14 via apower signal 66. For the purposes of the present discussion, electrical energy may be any energy provided via electrical current, a voltage differential, or via a wireless electromagnetic energy. Thehot plate 40 and the relatively cool heat sink 42 provide a sufficient temperature differential to enable thethermoelectric generator layer 38 to provide sufficient output power to power thenode 14. Power provided by thethermoelectric generator assembly 22 may also be used to power sensors, such as the thermistor 46, which may require additional power input, as discussed more fully below. - The
node controller 24 runs routines for controlling the power, i.e., electrical energy provided to the node transceiver 30 based on sensed data reported from thesensors thermoelectric generator assembly 22, and so on. Thenode controller 24 may run routines for only powering-on the transceiver 30 when sensed data from thesensors 18 and/or the power levels provided by thethermoelectric generator assembly 22 meet predetermined criteria as discussed more fully below. Such criteria may be adjusted to meet the needs of a given application. - The software running on the
node controller 24 may be programmed via an external computer, such as thecomputer 16, that may plug into thenode 14 or may otherwise wirelessly communicate with thenode 14. Use ofTiny OS 34 and accompanying Java® functionality facilitate node programmability. - Hence, the
system 10 implements a system for obtaining information pertaining to a process or thing. In the present embodiment, the process is a Hall-Héroult aluminum-reduction process implemented via thecell 12. Thesystem 10 implements afirst mechanism 22 for employing energy from the Hall-Héroult aluminum-reduction process to generate a signal corresponding to thepower signal 66 and/or thevoltage signal 54 output by thethermoelectric generator assembly 22 and/or the cell-voltage measuring device 18, respectively. For the purposes of the present discussion, a power signal may be any signal sufficient to power a circuit or other device. Power represents electrical energy per unit time. - A
second mechanism thing 12 and provides sensedinformation third mechanism fourth mechanism 18 employs thesignal second mechanism 20 and/or thethird mechanism - The
third mechanism sensor node 14. For the purposes of the present discussion, a sensor node may be any device that communicates with one or more other devices via one or more communications links, where the device is connected to a sensor. - The energy from the Hall-Héroult aluminum-reduction process used to power the
system 10 represents waste energy. For the purposes of the present discussion, waste energy may be any energy that is not fully utilized by a process or device. Examples of waste energy include, but are not limited to, excess heat, vibration, and gas pressure associated with an alumina reduction cell, such as thecell 12. In the present specific embodiment, the waste energy employed by thesystem 10 is heat energy from theexhaust duct 48 and/or excess electrical energy from thecell 12 as provided by the cell-voltage-measuringdevice 18. Other types and/or sources of energy may be employed by thesystem 10 without departing from the scope thereof. For example, other forms of waste heat, such as heat conducted through walls or the bottom of thecell 12 may be employed to generate electrical energy. - Various sensors may be included addition to the temperature sensor, i.e.,
thermistor 20, and thevoltage sensor 18 as discussed more fully below. Examples of additional sensors include a chemical sensor, a gas-flow sensor, a voltage sensor, and/or a current sensor. - The
node controller 24runs software power signal 66 being below a predetermined threshold. When this occurs, the power provided to the node transceiver 30 is reduced or shut off. The predetermined conditions may also include sensor-output status. For the purposes of the present discussion, sensor-output status may include information pertaining to the output of a sensor, including magnitudes of sensed-data values, existence of sensed data, sensed-data values as compared to specific thresholds, and so on. - For example, in the present operative scenario, if the temperature reported by the
thermistor 20 is outside of a desired range, thecontroller 34 may adjust or calibrate various operating conditions or parameters of thenode 14 and/or accompanyingsensors - The present embodiment addresses various concerns prevalent in many alumina-reduction plants. Such concerns mandate: minimizing costs for each sensing system for each cell, since a given plant may have multiple cells; maximizing safety, since dangerously high temperatures may exist within and around cells and since problems associated with placing wires carrying signals can potentially lead to dangerous voltages nearing a thousand volts; labor and costs associated with placing wires should be minimized; and use of bulky batteries and wall-socket power sources should be minimized, since use of such power sources may present a substantial operating nuisance and expense when large numbers of cells and sensing systems are considered. The
sensing system 10 ofFIG. 1 addresses these issues by providing a cost-effective and relatively safewireless sensing system 10 that is efficiently powered by waste energy or other energy inherent in the alumina-reduction process. - Use of the
sensing system 10 may provide various additional benefits. For example, one can deduce electrolyte ledge thickness (not shown) within thecell 12 through heat flux measurements provided by thethermistor 20, which may be considered a heat flux sensor. Accurate determination of the thickness of an electrolyte ledge formed within thecell 12 may facilitate predicting failure of thecell 12. - Those skilled in the art may readily employ an off-the-shelf Mote Processor Radio (MPR) to facilitate implementing the
node 14. An exemplary MRP is the standard mica2 mote, which is supplied by Crossbow Technology, Inc., model # MPR400 (FIG. 1 a). The MPR400 comes standard with a 10 bit ADC converter (˜3 mV precision), Digital Input/Output, Universal Asynchronous Receiver and Transmitter (UART), 3 Light-Emitting-Diodes (LEDs), a Frequency-Modulation (FM) tunable radio, Flash Data Logger Memory (FDLM), and a basic whip antenna. Without obstructions, the mica 2s purportedly can transmit data up to 500 feet away. Standard 2 AA batteries and a battery holder that accompany the mica2s may be removed for embodiments of the present invention. - Other types of motes or nodes, other than mica2s, may be employed to implement embodiments of the present invention without departing from the scope thereof. For example, those skilled in the art may custom build the
node 14 to meet the needs of a given application. - Additional sensor-network details that may be employed to facilitate implementing embodiments of the present invention are described in the following papers, which are each hereby incorporated by reference as if set forth in full in this application for all purposes:
- 1. “DESIGN AND IMPLEMENTATION OF A THERMOELECTRICALLY-POWERED WIRELESS SENSOR NETWORK FOR MONITORING THE HALL-HEROULT PROCESS,” (53 pages) Michael H. Schneider, 2003;
- 2. “EXPERIMENTS ON WIRELESS INSTRUMENTATION OF POTLINES,” (6 pages) Schneider, Evans, Ziegler, Wright, Steingart, 2005; and
- 3. “WIRELESS MEASUREMENT OF OPERATING PARAMETERS OF HALL CELLS,” (2 pages).
- Hence,
FIG. 1 illustrates a basic configuration of atemperature sensor 20 and associated transmitter 30 that are powered by waste heat from theexhaust duct 48. Thethermoelectric generator layer 38 is positioned between thehot plate 40 and heat sink 42. Thehot plate 40 is thermally coupled to the exterior of theexhaust duct 48 and to the extension 46. The extension 46 extends to within the interior of theexhaust duct 48. Theexhaust duct 48 is used to convey hot gases that are produced during an electrochemical aluminum production process. Thus, thethermoelectric generator layer 38 is coupled between a temperature gradient created by the heat conducted to thehot plate 40, and a cooler temperature created as a result of the heat sink 42. As is known in the art, thethermoelectric generator layer 38 uses the temperature difference to generate electric energy. - The
thermistor 20 is attached to the end of the extension 46 and is used to measure the temperature of gas inside of theduct 48. This temperature measurement can be used to improve the efficiency of the aluminum production process, detect hazardous conditions, or for other purposes. Both theelectrical outputs thermoelectric generator layer 38 and thesignal 50 output of thethermistor 20 are provided to thenode 14. Thenode 14 includes wireless communication electronics 30 to convey the measurement from thethermistor 20 to thecomputer system 16 for further analysis. The conveyance of sensor readings, such as temperature measurements provided by thethermistor 20, can be by any suitable means, wired or wireless. Furthermore, other types of sensors, such as blackbody radiation sensors, which are not disclosed herein, can be used. -
FIG. 2 is a diagram illustrating asecond embodiment 80 of the present invention that is adapted for use with a Hall-Héroult cell (see 12 ofFIG. 4 ) of which a cross-section of theexhaust duct 48 is shown inFIG. 2 . Thesensing system 80 includes analternative sensor node 82 that includes an alternativemulti-function controller 84 andtransceiver 86. Themulti-function controller 84 is powered by an alternativethermoelectric generator assembly 88. The curvedhot plate 92 conforms to the shape of the exterior surface of theexhaust duct 48. - The
thermoelectric generator assembly 88 further includes an alternativethermoelectric generator layer 94 that is sandwiched between the curvedhot plate 92 and a special heat sink 96. For illustrative purposes, the special heat sink 96 is shown including crosscut coolingfins 98. Thethermoelectric generator layer 94 employs a temperature difference between thehot plate 92 and the heat sink 96 to generate apower signal 100, which provides power to themulti-function node controller 84. Themulti-function node controller 84 incorporates a DC/DC power converter that receives the varyingpower signal 100 and provides stable power to power thecontroller 84 in response thereto. - For illustrative purposes, the
multi-function controller 84 is shown selectively providing power and control signals (pwr./ctrl.) 102-110 to athermistor plug 112, aflow sensor 114, achemical sensor 116, a vibration sensor/transducer 118, and apressure sensor 120, respectively. The sensors 112-120 are connected to and/or penetrate into theexhaust duct 48 as needed to take sensor measurements, such as chemical, gas-flow, heat flux measurements, vibration, and pressure measurements. Themulti-function controller 84 receives sensed data, such as chemical, gas-flow, temperature, vibration, and pressure measurements 122-130, respectively, from the sensors 112-120, respectively. Thethermistor 112 may provide heat flux measurements in addition to temperature measurements. Alternatively, heat flux measurements are provided to themulti-function node controller 84 by theTEG layer 94. - In operation, the
multi-function controller 84 selectively queries the sensors 112-120 for sensed data as needed in response to queries/control signals 123 received by thenode 82 from thecomputer 16 and forwarded to the sensors 112-120. Thecomputer 16 may also forward acontrol signal 123 to themulti-function controller 84 directing themulti-function controller 84 to adjust the power provided to one or more of thesensors 112. - The
multi-function controller 84 selectively provides power to the sensors 112-120 when corresponding sensed data needs to be received by thenode 82, such as in response to queries from thecomputer 16 or in response to predetermined criteria. For example, themulti-function controller 84 may be configured to periodically power-on one or more of the sensors 112-120 to receive corresponding sensed data. For the purposes of the present discussion, sensed data may be any information corresponding to measurements taken by a sensor, such as one or more of the sensors 112-120. - The
multi-function controller 84 and sensors 112-120 may be configured so that themulti-function controller 84 continuously receives sensed data from the sensors 112-120, not just periodically or in response to queries, without departing from the scope of the present invention. Furthermore, themulti-function controller 84 may implement one or more routines that cause sensed data from one or more of the sensors 112-120 to only be stored by thenode 82 and/or forwarded to thecomputer 16 when certain criteria are met. For example, if sensed data surpass predetermined thresholds or fall within predetermined thresholds as determined by themulti-function controller 84, then the data may be collected along with time stamps indicating when the measurements were received by themulti-function controller 84. - The exact configuration of the
multi-function controller 84 and the routines and functions associated therewith are application specific. The functionality of themulti-function controller 84 may be adjusted by those skilled in the art with access to the present teachings to meet the demands of a given application without undue experimentation. For example, in one implementation, themulti-function controller 84 may be configured to wirelessly transmit an alarm signal to thecomputer 16 when the temperature within theexhaust duct 48 surpasses a predetermined maximum temperature threshold. Themulti-function controller 84 may also be configured to power-off certain sensors 112-120 when power levels output by thethermoelectric generator assembly 88 are insufficient to power all of the sensors 112-120. - In an alternative operative scenario, various sensors, such as the vibration sensor 118 and the
pressure sensor 120 can provide operational data about the process, which is then linked to themulti-function controller 84. Such sensors can be powered by conventional batteries. In other scenarios, energy scavenging from heat, vibration or pressure differential could be used to power the various kinds of sensor. Hence, various sensors 112-120 may be powered by scavenging waste heat or vibration from the alumina-reduction process occurring within the Hall-Héroult cell 12 (seeFIG. 1 ). - Hence, the
sensing system 80 ofFIG. 2 implements a system for obtaining information pertaining to a process or thing, such as an aluminum-reduction process occurring in the Hall-Héroult cell 12 ofFIG. 1 . Thesensing system 80 includes one or more energy converters implemented by thethermoelectric generator assembly 88 and one or more of the sensors 112-120. For the purposes of the present discussion, an energy converter may be any device that is adapted to convert energy from a process or thing, such as a process or device being measured, into energy suitable for use by a circuit or associated device, such as thenode 82 and one or more of the sensors 122-120, respectively. - The
sensing system 80 further includes a sensor, such as one or more of the sensors 122-120, coupled to the process orthing 48. Thenode 82 is coupled to the sensor 112-120 and the energy-converter 88, wherein thenode 82 is powered by output from theenergy converter 88. - The
multi-function controller 84 implements one or more routines for selectively adjusting power to thewireless transmitter 86 of thenode 82 in response to a predetermined condition, such as values output from the sensor 112-120 being within a predetermined range or below or above a predetermined threshold. The predetermined condition may includeelectrical energy 100, which is output from theenergy converter 88, being below a predetermined threshold. Theremote computer 16 may include one ormore routines 64 that are adapted to process information output by the sensor 112-120. -
FIG. 3 is a diagram illustrating athird embodiment 140 of the present invention that is adapted for use with a Hall-Héroult potline 142. Thepotline 142 includes plural Hall-Héroult cells 144-148, which are connected in series.Plural sensor nodes FIGS. 1 and 2 ). The sensed data may be wirelessly forwarded to thecomputer 16 directly. Alternatively, certain nodes, such as thesecond node 82 and thethird node 154 may act as relays to relay signaling information, such as, but not limited to, sensed data from other nodes, such as thefirst node 14 and/or thesecond node 82. - In certain operative scenarios, the
first node 14 may transmit information to thethird node 154, thereby hopping thesecond node 82. Alternatively, thesecond node 82 may transmit directly to thecomputer 16, thereby hopping thethird node 154. Alternatively, thefirst node 14 may communicate directly with thecomputer 16, thereby hopping thesecond node 82 and thethird node 154. Exact details and conditions pertaining to which nodes are hopped are application specific. Functionality required to implement node hopping is known in the art and may be readily employed in thenodes - Use of the
wireless nodes potline 142. Use of thesensing system 140 may improve the ability of alumina-reduction plants to safely and accurately monitor Hall-Héroult cell processes, thereby providing valuable information that may be used to improve aluminum manufacturing. -
FIG. 4 is flow diagram of amethod 160 adapted for use with the embodiments ofFIGS. 2-3 . Themethod 160 includes an initial environment-determination step 162, wherein the nature of the process, device, or object being sensed is determined. - If the environment-
determination step 162 determines that the process or thing being sensed produces or yields waste energy in the form of heat, then a thermoelectric generator, such as thethermoelectric generator 88 ofFIG. 2 , is selected for use in an associated sensing system in a thermoelectric-generator-selecting step 164. - If the environment-
determination step 162 determines that the process or thing being sensed produces or yields excess pressure, then a pressure transducer, such as thetransducer 120 ofFIG. 2 , is selected for use in an associated sensing system in a transducer-selectingstep 166. - If the environment-
determination step 162 determines that the process or thing being sensed produces or yields excess vibration, then a vibration transducer, such as the vibration transducer 118 ofFIG. 2 , is selected for use in an associated sensing system in a vibration-convertingstep 170. - If the environment-
determination step 162 determines that the process or thing being sensed produces or yields excess electrical energy, then an electrical power converter, such as the cell-voltage measuring device 18 andconverter 26 ofFIG. 1 , are selected for use in an associated sensing system in a power-converter-selectingstep 168. - After the appropriate power-providing modules are selected in the selecting steps 164-168, then an energy-utilizing
step 172 is performed. The energy-utilizingstep 172 involves using power and/or electrical-energy from the thermoelectric generator, the pressure transducer, and/or the power converter selected in the selecting steps 164-168 to power one or more sensors that are adapted to sense conditions or characteristics pertaining to the process or thing being sensed. The energy-utilizingstep 172 also involves using power and/or electrical-energy to power a circuit, such as a node, for collecting and/or coordinating the transmission of sensed data output from the sensors. The energy-utilizingstep 172 also involves using power and/or electrical-energy to power a communications module, such as thenode transceiver 80 ofFIG. 2 , to selectively transmit the sensed data to another node and/or to remote computer, such as the computer 17 ofFIGS. 1-3 . - With reference to
FIGS. 1-4 , while embodiments of the present invention have been discussed with respect to specific arrangements of sensors, nodes, and computers, embodiments of the present invention are not limited thereto. Sensors, nodes, heat sinks, thermoelectric generators and other components can be used in different arrangements. For example, various sensors maybe mounted onto a different portion of thecell 12 other than theexhaust duct 48. Furthermore, the invention can be adapted to work with processes other than aluminum reduction. - In general, the electrical energy generation may be achieved via various types of energy converters other than thermoelectric generators, pressure transducers, and so on. Furthermore, wireless transmission can be used to monitor any suitable process or condition. For example, embodiments of the invention can be adapted to work with other electrochemical processes including modifications to an aluminum reduction process.
- Note that specific numbers, types, arrangements and other characteristics of devices and systems can vary from those described herein. In general, features of embodiments of the invention can work with any suitable types of network devices, topology, protocol, physical links, etc. Examples of communications standards that may be employed to facilitate wireless communications between nodes and computers include, but are not limited to Institute of Electrical and Electronics Engineers (IEEE) standards 802.11x (where “x” may be “b”, “g”, etc.), 802.16, and Bluetooth. Nodes can be used to relay information to other nodes and eventually to a central processing station such as the computer 16 (or other processing system) as described in the attached Papers.
- The sensors can be of various types, sizes, mountings, or other characteristics. For example, position, temperature, moisture or humidity, gas pressure, force, light, and other sensors can all be used. A single node can have multiple sensors and different nodes can use different numbers and types of sensors than other nodes. Depending on the type of application, different types of sensing may be more desirable than others, and sensor characteristics such as sensitivity, ruggedness, sample rate, power consumption, transmit/receive range, etc., may be more critical than others.
- Nodes can have pre-programmed behavior so that the need for transmitting commands to a node is reduced. Another option is to allow each node to be reprogrammable so that node behavior, such as sensor sampling rate, transmit range, communications relay ability, etc., can be adjusted from a control center. Node firmware and software can be downloaded to each node from a control center, server or other device.
- One embodiment of the invention can-use a base station to send and receive signals among a network of nodes. The base station can be configured to perform different functions such as aggregating and correlating data, filtering data, monitoring nodes, etc. The base station, which may be implemented via the
computer 16 ofFIGS. 1 and 2 , can act as a central radio-frequency receiver/transmitter and relay information to other processing-system servers which, in turn, can provide data from the nodes to other client computer systems. Client systems can operate automatically or in interaction with human operators to analyze data, monitor and report on conditions, make predictions and issue commands to the nodes. Note that in practice several or many base stations can be used, each with an associated plurality of nodes. Base station coverage can overlap to provide robustness via redundancy. Such overlapping coverage can also improve overall bandwidth of communications from and to nodes. - Sensors on nodes can be prioritized so that if there is a lack of resources (e.g., limited bandwidth), the sensor readings with higher priority can be communicated first. Data of sensor types with lower priority can be buffered and transmitted when there is free bandwidth at a later time, or discarded and not sent at all. If a node starts to become low on power, sensors with higher priority can remain active while lower priority sensors are shut down.
- Sensing can be triggered or controlled or modified in reaction to events or other criteria. For example, where a sensor reading is within an expected “normal” range then a node can be programmed to report infrequently. If readings exceed a threshold value then the node can send readings or an alert message at a high priority. The node can begin sampling more frequently and give the appropriate sensor a higher priority. When the condition becomes safe (i.e., does not exceed the threshold) the node and sensing operation can go back to the previous state.
- One sensor's reading can be used to modify the operation and reporting of other sensors. For example, if temperature increases, then gas flow monitoring can be increased in frequency, reporting priority, etc.
- Although the invention has been discussed with respect to specific embodiments thereof, these embodiments are merely illustrative, and not restrictive, of the invention. Additional types of sensors include imaging sensors (e.g., cameras), infrared sensing, etc. Any software applications or functionality can be provided at the node, base station, servers and/or clients. It is anticipated that third-party commercial software can be used to perform functions such as database storage and retrieval, data transfer, data analysis, operating system functions, etc.
- Although embodiments of the invention have been presented primarily with respect to electrochemical production, other uses are possible. Different configurations of sensors, power generators, receivers, transmitters and control systems are possible. For example, one type of useful configuration is a relay system that can use an electric generator and a receiver/transmitter node to receive a signal from an originating node and to relay it to another receiver that may be too distant too communicate directly with the originating node.
- While the present embodiments are discussed with reference to obtaining measurements pertaining to conditions or characteristics of an aluminum reduction cell or process, embodiments of the present invention are not limited thereto. For example, many types of environments are susceptible to events that may affect sensor output and that would benefit from a sensor network and accompanying sensed-data collection method implemented according to an embodiment of the present invention.
- Although a process or module of the present invention may be presented as a single entity, such as software executing on a single machine, such software and/or modules can readily be executed on multiple machines. Furthermore, multiple different modules and/or programs of embodiments of the present invention may be implemented on one or more machines without departing from the scope thereof.
- Any suitable programming language can be used to implement the routines or other instructions employed by various network entities. Exemplary programming languages include nesC, C++, Java, assembly language, etc. Different programming techniques can be employed such as procedural or object oriented. The routines can execute on a single processing device or multiple processors. Although the steps, operations or computations may be presented in a specific order, this order may be changed in different embodiments. In some embodiments, multiple steps shown as sequential in this specification can be performed simultaneously.
- In the description herein, numerous specific details are provided, such as examples of components and/or methods, to provide a thorough understanding of embodiments of the present invention. One skilled in the relevant art will recognize, however, that an embodiment of the invention can be practiced without one or more of the specific details, or with other apparatus, systems, assemblies, methods, components, materials, parts, and/or the like. In other instances, well-known structures, materials, or operations are not specifically shown or described in detail to avoid obscuring aspects of embodiments of the present invention.
- A “machine-readable medium” or “computer-readable medium” for purposes of embodiments of the present invention may be any medium that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, system or device. The computer readable medium can be, by way of example only but not by limitation, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, device, propagation medium, or computer memory.
- A “processor” or software “process” includes any human, hardware and/or software system, mechanism or component that processes data, signals or other information. A processor can include a system with a general-purpose central processing unit, multiple processing units, dedicated circuitry for achieving functionality, or other systems. Processing need not be limited to a geographic location, or have temporal limitations. For example, a processor can perform its functions in “real time,” “offline,” in a “batch mode,” etc. Portions of processing can be performed at different times and at different locations, by different (or the same) processing systems. A computer may be any processor in communication with a memory.
- Reference throughout this specification to “one embodiment”, “an embodiment”, or “a specific embodiment” means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment of the present invention and not necessarily in all embodiments. Thus, respective appearances of the phrases “in one embodiment”, “in an embodiment”, or “in a specific embodiment” in various places throughout this specification are not necessarily referring to the same embodiment. Furthermore, the particular features, structures, or characteristics of any specific embodiment of the present invention may be combined in any suitable manner with one or more other embodiments. It is to be understood that other variations and modifications of the embodiments of the present invention described and illustrated herein are possible in light of the teachings herein and are to be considered as part of the spirit and scope of the present invention.
- It will also be appreciated that one or more of the elements depicted in the drawings/figures can also be implemented in a more separated or integrated manner, or even removed or rendered as inoperable in certain cases, as is useful in accordance with a particular application.
- Additionally, any signal arrows in the drawings/figures should be considered only as exemplary, and not limiting, unless otherwise specifically noted. Furthermore, the term “or” as used herein is generally intended to mean “and/or” unless otherwise indicated. Combinations of components or steps will also be considered as being noted, where terminology is foreseen as rendering the ability to separate or combine is unclear.
- As used in the description herein and throughout the claims that follow “a”, “an”, and “the” include plural references unless the context clearly dictates otherwise. Furthermore, as used in the description herein and throughout the claims that follow, the meaning of “in” includes “in” and “on” unless the context clearly dictates otherwise.
- The foregoing description of illustrated embodiments of the present invention, including what is described in the Abstract, is not intended to be exhaustive or to limit the invention to the precise forms disclosed herein. While specific embodiments of, and examples for, the invention are described herein for illustrative purposes only, various equivalent modifications are possible within the spirit and scope of the present invention, as those skilled in the relevant art will recognize and appreciate. As indicated, these modifications may be made to the present invention in light of the foregoing description of illustrated embodiments of the present invention and are to be included within the spirit and scope of the present invention.
- Thus, while the present invention has been described herein with reference to particular embodiments thereof, a latitude of modification, various changes and substitutions are intended in the foregoing disclosures, and it will be appreciated that in some instances some features of embodiments of the invention will be employed without a corresponding use of other features without departing from the scope and spirit of the invention as set forth. Therefore, many modifications may be made to adapt a particular situation or material to the essential scope and spirit of the present invention. It is intended that the invention not be limited to the particular terms used in following claims and/or to the particular embodiment disclosed as the best mode contemplated for carrying out this invention, but that the invention will include any and all embodiments and equivalents falling within the scope of the appended claims.
Claims (48)
Priority Applications (5)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US11/335,019 US7466240B2 (en) | 2005-01-25 | 2006-01-18 | Wireless sensing node powered by energy conversion from sensed system |
CA2595781A CA2595781C (en) | 2005-01-25 | 2006-01-19 | Wireless sensing node powered by energy conversion from sensed system |
CN2006800096578A CN101175981B (en) | 2005-01-25 | 2006-01-19 | Wireless sensing node powered by energy conversion from sensed system |
PCT/US2006/002177 WO2006081154A2 (en) | 2005-01-25 | 2006-01-19 | Wireless sensing node powered by energy conversion from sensed system |
US12/269,756 US7768425B2 (en) | 2005-01-25 | 2008-11-12 | Wireless sensing node powered by energy conversion from sensed system |
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US64717605P | 2005-01-25 | 2005-01-25 | |
US11/335,019 US7466240B2 (en) | 2005-01-25 | 2006-01-18 | Wireless sensing node powered by energy conversion from sensed system |
Related Child Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
US12/269,756 Division US7768425B2 (en) | 2005-01-25 | 2008-11-12 | Wireless sensing node powered by energy conversion from sensed system |
Publications (2)
Publication Number | Publication Date |
---|---|
US20060176175A1 true US20060176175A1 (en) | 2006-08-10 |
US7466240B2 US7466240B2 (en) | 2008-12-16 |
Family
ID=36740964
Family Applications (2)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
US11/335,019 Active 2026-06-30 US7466240B2 (en) | 2005-01-25 | 2006-01-18 | Wireless sensing node powered by energy conversion from sensed system |
US12/269,756 Active 2026-04-11 US7768425B2 (en) | 2005-01-25 | 2008-11-12 | Wireless sensing node powered by energy conversion from sensed system |
Family Applications After (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
US12/269,756 Active 2026-04-11 US7768425B2 (en) | 2005-01-25 | 2008-11-12 | Wireless sensing node powered by energy conversion from sensed system |
Country Status (4)
Country | Link |
---|---|
US (2) | US7466240B2 (en) |
CN (1) | CN101175981B (en) |
CA (1) | CA2595781C (en) |
WO (1) | WO2006081154A2 (en) |
Cited By (19)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US7239257B1 (en) * | 2005-10-03 | 2007-07-03 | Zilker Labs, Inc. | Hardware efficient digital control loop architecture for a power converter |
US20070205891A1 (en) * | 2000-12-20 | 2007-09-06 | Spencer David F | Network enabled radiation detection systems, methods of monitoring radiation, and network enabled radiation monitoring systems |
US20090184829A1 (en) * | 2008-01-22 | 2009-07-23 | Rivers Jr Cecil | Temperature sensor |
US20090300379A1 (en) * | 2008-05-21 | 2009-12-03 | Mian Zahid F | Sensor system |
US7791455B1 (en) * | 2006-12-29 | 2010-09-07 | Onasset Intelligence, Inc. | Method and apparatus for autonomous detection of a given location or situation |
US20110148600A1 (en) * | 2009-12-17 | 2011-06-23 | Roger Bishop | Apparatus and methods for self-powered wire free data networks |
ITMI20100453A1 (en) * | 2010-03-19 | 2011-09-20 | Poliedra S R L | FLUE. |
US20120001768A1 (en) * | 2010-05-17 | 2012-01-05 | Flir Systems, Inc. | Multisensory Meter System |
US20140077964A1 (en) * | 2012-09-19 | 2014-03-20 | Honeywell International Inc. | System and Method for Optimizing an Operation of a Sensor Used with Wellbore Equipment |
JP2014095512A (en) * | 2012-11-09 | 2014-05-22 | Mitsubishi Heavy Ind Ltd | Measuring device, measuring system and measuring method |
CN104739374A (en) * | 2013-12-27 | 2015-07-01 | 精工爱普生株式会社 | Vital information measuring device, processing system, and vital information processing method |
US20150248569A1 (en) * | 2014-03-03 | 2015-09-03 | Berntsen International, Inc. | Advanced System for Navigating Between, Locating and Monitoring Underground Assets |
EP2995701A1 (en) * | 2014-09-15 | 2016-03-16 | Siemens Aktiengesellschaft | Method for reducing the formation of fluorcarbons in melt flow electrolysis |
WO2017141135A1 (en) * | 2016-02-15 | 2017-08-24 | Dubai Aluminium Pjsc | Method of monitoring individual anode currents in an electrolytic cell suitable for the hall-heroult electrolysis process |
US9775095B2 (en) | 2015-06-18 | 2017-09-26 | Carrier Corporation | Aircraft proximity sensor system for radio frequency transmission device |
US9886074B2 (en) * | 2015-11-17 | 2018-02-06 | Stmicroelectronics S.R.L. | Electronic device and sensor device with low power consumption and related methods |
DE112007002371B4 (en) | 2006-10-26 | 2018-12-20 | Tyco Thermal Controls, Llc | Wireless network for monitoring and controlling electric heating systems |
CN114072640A (en) * | 2019-02-15 | 2022-02-18 | 株式会社Kelk | Thermoelectric power generation device and vibration detection system |
EP3907480A4 (en) * | 2019-02-15 | 2022-09-28 | KELK Ltd. | Thermoelectric power generation device and vibration detection system |
Families Citing this family (15)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20080016440A1 (en) * | 2006-07-14 | 2008-01-17 | Microsoft Corporation | Programming And Managing Sensor Networks |
JP5446879B2 (en) * | 2008-02-22 | 2014-03-19 | 旭硝子株式会社 | Electret and electrostatic induction type conversion element |
WO2009123022A1 (en) * | 2008-03-31 | 2009-10-08 | 旭硝子株式会社 | Acceleration sensor device and sensor network system |
WO2010026266A1 (en) * | 2008-09-08 | 2010-03-11 | Bhp Billiton Aluminium Technologies Limited | Thermoelectric device |
DE102008054946A1 (en) * | 2008-12-19 | 2010-06-24 | Endress + Hauser Wetzer Gmbh + Co. Kg | Protective housing device for receiving e.g. field device, of process automation unit, has thermal blocking filter provided with thermally absorbent and/or thermally insulating functional material |
TWI418969B (en) * | 2010-12-01 | 2013-12-11 | Ind Tech Res Inst | Self-powered thermoelectric device for electricity consumption and related detecting method |
US20130005372A1 (en) | 2011-06-29 | 2013-01-03 | Rosemount Inc. | Integral thermoelectric generator for wireless devices |
CN104769766B (en) | 2012-02-17 | 2018-04-06 | 弗吉尼亚大学专利基金会以弗吉尼亚大学许可&合资集团名义经营 | Collection of energy and control for sensor node |
GB2504127A (en) * | 2012-07-20 | 2014-01-22 | Tegma As | A method for monitoring the heat flux through walls of industrial reactors via thermoelectric device(s) |
US10823592B2 (en) | 2013-09-26 | 2020-11-03 | Rosemount Inc. | Process device with process variable measurement using image capture device |
US10638093B2 (en) | 2013-09-26 | 2020-04-28 | Rosemount Inc. | Wireless industrial process field device with imaging |
US11076113B2 (en) | 2013-09-26 | 2021-07-27 | Rosemount Inc. | Industrial process diagnostics using infrared thermal sensing |
US10914635B2 (en) | 2014-09-29 | 2021-02-09 | Rosemount Inc. | Wireless industrial process monitor |
DE102017205707A1 (en) * | 2017-04-04 | 2018-10-04 | Zf Friedrichshafen Ag | Device with energy-dependent transmission power |
WO2019129510A1 (en) * | 2017-12-26 | 2019-07-04 | Robert Bosch Gmbh | Leak detection for piping systems using a sound signal |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US4940976A (en) * | 1988-02-05 | 1990-07-10 | Utilicom Inc. | Automated remote water meter readout system |
US6053163A (en) * | 1999-08-04 | 2000-04-25 | Hi-Z Technology, Inc. | Stove pipe thermoelectric generator |
US20050139248A1 (en) * | 2003-12-30 | 2005-06-30 | Strnad Richard J. | Thermoelectricity generator |
US20050146220A1 (en) * | 2002-03-07 | 2005-07-07 | Microstrain, Inc. | Energy harvesting for wireless sensor operation and data transmission |
US20050213548A1 (en) * | 2004-03-24 | 2005-09-29 | Benson Dwayne M | Aircraft engine sensor network using wireless sensor communication modules |
US7228902B2 (en) * | 2002-10-07 | 2007-06-12 | Baker Hughes Incorporated | High data rate borehole telemetry system |
Family Cites Families (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPS6189144A (en) * | 1984-10-08 | 1986-05-07 | Nissan Motor Co Ltd | Trouble diagnosing apparatus for car |
US6738697B2 (en) * | 1995-06-07 | 2004-05-18 | Automotive Technologies International Inc. | Telematics system for vehicle diagnostics |
GB2348030B (en) * | 1995-10-20 | 2001-01-03 | Baker Hughes Inc | Communication in a wellbore utilizing acoustic signals |
US6775632B1 (en) * | 1999-12-14 | 2004-08-10 | The Goodyear Tire & Rubber Company | Calibration of a transponders for a tire pressure monitoring system |
CN1158410C (en) * | 2001-01-12 | 2004-07-21 | 中国铝业股份有限公司 | Method and device for automatically measuring distribution of anode current in Al electrolyzer |
US6522048B1 (en) * | 2001-08-20 | 2003-02-18 | Ocean Power Technologies, Inc. | Sensors for power conversion systems |
CN1352324A (en) * | 2001-08-20 | 2002-06-05 | 程留恩 | On-line real time measuring method and measurer for aluminium electrolyzing parameters |
GB2385674B (en) * | 2002-02-20 | 2005-04-06 | Racal Instruments Ltd | Radio frequency power generation and power measurement |
JP4963006B2 (en) * | 2002-09-09 | 2012-06-27 | Ntn株式会社 | Wireless sensor system and wheel bearing device with wireless sensor |
US7142075B1 (en) * | 2004-04-01 | 2006-11-28 | Sandia Corporation | Microelectromechanical power generator and vibration sensor |
US7449811B2 (en) * | 2004-11-26 | 2008-11-11 | The University Of Tokyo | Electrostatic induction conversion device |
JP5028185B2 (en) * | 2007-08-28 | 2012-09-19 | 三洋電機株式会社 | Electrostatic generator |
-
2006
- 2006-01-18 US US11/335,019 patent/US7466240B2/en active Active
- 2006-01-19 CA CA2595781A patent/CA2595781C/en active Active
- 2006-01-19 CN CN2006800096578A patent/CN101175981B/en not_active Expired - Fee Related
- 2006-01-19 WO PCT/US2006/002177 patent/WO2006081154A2/en active Application Filing
-
2008
- 2008-11-12 US US12/269,756 patent/US7768425B2/en active Active
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US4940976A (en) * | 1988-02-05 | 1990-07-10 | Utilicom Inc. | Automated remote water meter readout system |
US6053163A (en) * | 1999-08-04 | 2000-04-25 | Hi-Z Technology, Inc. | Stove pipe thermoelectric generator |
US20050146220A1 (en) * | 2002-03-07 | 2005-07-07 | Microstrain, Inc. | Energy harvesting for wireless sensor operation and data transmission |
US7228902B2 (en) * | 2002-10-07 | 2007-06-12 | Baker Hughes Incorporated | High data rate borehole telemetry system |
US20050139248A1 (en) * | 2003-12-30 | 2005-06-30 | Strnad Richard J. | Thermoelectricity generator |
US20050213548A1 (en) * | 2004-03-24 | 2005-09-29 | Benson Dwayne M | Aircraft engine sensor network using wireless sensor communication modules |
Cited By (29)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20070205891A1 (en) * | 2000-12-20 | 2007-09-06 | Spencer David F | Network enabled radiation detection systems, methods of monitoring radiation, and network enabled radiation monitoring systems |
US7239257B1 (en) * | 2005-10-03 | 2007-07-03 | Zilker Labs, Inc. | Hardware efficient digital control loop architecture for a power converter |
DE112007002371B4 (en) | 2006-10-26 | 2018-12-20 | Tyco Thermal Controls, Llc | Wireless network for monitoring and controlling electric heating systems |
US7791455B1 (en) * | 2006-12-29 | 2010-09-07 | Onasset Intelligence, Inc. | Method and apparatus for autonomous detection of a given location or situation |
US20090184829A1 (en) * | 2008-01-22 | 2009-07-23 | Rivers Jr Cecil | Temperature sensor |
US10333642B2 (en) | 2008-05-21 | 2019-06-25 | International Machines Corp. | TDMA communications with clock synchronization |
US8700924B2 (en) * | 2008-05-21 | 2014-04-15 | International Electronic Machines Corp. | Modular sensor node and communications system |
US20090300379A1 (en) * | 2008-05-21 | 2009-12-03 | Mian Zahid F | Sensor system |
US20110148600A1 (en) * | 2009-12-17 | 2011-06-23 | Roger Bishop | Apparatus and methods for self-powered wire free data networks |
ITMI20100453A1 (en) * | 2010-03-19 | 2011-09-20 | Poliedra S R L | FLUE. |
EP2366950A1 (en) * | 2010-03-19 | 2011-09-21 | Poliedra s.r.l. | Chimney flue |
US20120001768A1 (en) * | 2010-05-17 | 2012-01-05 | Flir Systems, Inc. | Multisensory Meter System |
US9615147B2 (en) * | 2010-05-17 | 2017-04-04 | Flir Systems, Inc. | Multisensory meter system |
US9816370B2 (en) * | 2012-09-19 | 2017-11-14 | Honeywell International Inc. | System and method for optimizing an operation of a sensor used with wellbore equipment |
US20140077964A1 (en) * | 2012-09-19 | 2014-03-20 | Honeywell International Inc. | System and Method for Optimizing an Operation of a Sensor Used with Wellbore Equipment |
JP2014095512A (en) * | 2012-11-09 | 2014-05-22 | Mitsubishi Heavy Ind Ltd | Measuring device, measuring system and measuring method |
CN104739374A (en) * | 2013-12-27 | 2015-07-01 | 精工爱普生株式会社 | Vital information measuring device, processing system, and vital information processing method |
JP2015123300A (en) * | 2013-12-27 | 2015-07-06 | セイコーエプソン株式会社 | Biological information measuring device, processing system, biological information processing method and program |
US20150185819A1 (en) * | 2013-12-27 | 2015-07-02 | Seiko Epson Corporation | Vital information measuring device, processing system, vital information processing method, and program |
US20150248569A1 (en) * | 2014-03-03 | 2015-09-03 | Berntsen International, Inc. | Advanced System for Navigating Between, Locating and Monitoring Underground Assets |
DE102014218440A1 (en) * | 2014-09-15 | 2016-03-17 | Siemens Aktiengesellschaft | Process for reducing the formation of fluorocarbons in fused-salt electrolysis |
EP2995701A1 (en) * | 2014-09-15 | 2016-03-16 | Siemens Aktiengesellschaft | Method for reducing the formation of fluorcarbons in melt flow electrolysis |
US9775095B2 (en) | 2015-06-18 | 2017-09-26 | Carrier Corporation | Aircraft proximity sensor system for radio frequency transmission device |
US9886074B2 (en) * | 2015-11-17 | 2018-02-06 | Stmicroelectronics S.R.L. | Electronic device and sensor device with low power consumption and related methods |
US10642331B2 (en) | 2015-11-17 | 2020-05-05 | Stmicroelectronics S.R.L. | Electronic device and sensor device with low power consumption and related methods |
WO2017141135A1 (en) * | 2016-02-15 | 2017-08-24 | Dubai Aluminium Pjsc | Method of monitoring individual anode currents in an electrolytic cell suitable for the hall-heroult electrolysis process |
EP3417094A4 (en) * | 2016-02-15 | 2019-11-13 | Dubai Aluminium PJSC | Method of monitoring individual anode currents in an electrolytic cell suitable for the hall-heroult electrolysis process |
CN114072640A (en) * | 2019-02-15 | 2022-02-18 | 株式会社Kelk | Thermoelectric power generation device and vibration detection system |
EP3907480A4 (en) * | 2019-02-15 | 2022-09-28 | KELK Ltd. | Thermoelectric power generation device and vibration detection system |
Also Published As
Publication number | Publication date |
---|---|
CA2595781A1 (en) | 2006-08-03 |
WO2006081154A2 (en) | 2006-08-03 |
CN101175981B (en) | 2012-05-16 |
CA2595781C (en) | 2014-10-21 |
CN101175981A (en) | 2008-05-07 |
US20090065041A1 (en) | 2009-03-12 |
US7768425B2 (en) | 2010-08-03 |
US7466240B2 (en) | 2008-12-16 |
WO2006081154A3 (en) | 2007-09-20 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US7466240B2 (en) | Wireless sensing node powered by energy conversion from sensed system | |
Olatinwo et al. | Energy efficient solutions in wireless sensor systems for water quality monitoring: A review | |
EP2957107B1 (en) | Battery monitoring network | |
US9578398B2 (en) | Wireless sensor device and method for wirelessly communicating a sensed physical parameter | |
RU2669708C2 (en) | Power supply unit with logical circuits | |
CN101967658B (en) | Aluminum cell anode effect prediction device | |
Silva et al. | LiteSense: An adaptive sensing scheme for WSNs | |
CN104132748B (en) | Switch cubicle surface acoustic wave SAW temp measuring system | |
Antolin et al. | Wubinet: A flexible WSN for applications in environmental monitoring | |
Kang et al. | ZigBee wireless network for transformer load monitoring and temperature sensitivity analysis | |
Weiss et al. | Wireless sensor network for continuously monitoring temperatures in data centers | |
Aqueveque et al. | Temperature monitoring of electrolytic cells using wireless battery-free harsh environment sensors | |
Scherer et al. | Wireless sensor network for continuous temperature monitoring in air-cooled data centers: applications and measurement results | |
US20210241784A1 (en) | Sound inspection system and sound inspection method | |
CN220542281U (en) | Aluminum electrolysis cell shell temperature monitoring system | |
CN110673550A (en) | Enocean protocol-based low-energy-consumption data acquisition equipment terminal, system and debugging method | |
RU224315U1 (en) | ESPECIALLY EXPLOSION-SAFE STATIONARY AUTONOMOUS RADIO POSITIONING MARK | |
Ibrahim et al. | Wireless Sensing for Ground Engaging Tools | |
JP2019109169A (en) | Corrosive environment monitoring device and corrosive environment monitoring system with the same | |
CN108823607A (en) | A kind of aluminum electrolytic tank continuous temperature measurement method | |
Gupta et al. | Wireless sensor network based industrial monitoring & diagnostic system | |
CN204376216U (en) | The ring main unit that radio detection temperature and humidity and data wireless export | |
Nagarajan et al. | Maximization of length and lifetime of clustered industrial automation network | |
Sarkimaki et al. | Wireless technologies in condition monitoring and remote diagnostics of electric drives; requirements and applications | |
Marco et al. | LiteSense: An adaptive sensing scheme for WSNs |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
AS | Assignment |
Owner name: ALCOA TECHNICAL CENTER, PENNSYLVANIA Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNOR:ZIEGLER, DONALD P;REEL/FRAME:017493/0319 Effective date: 20060112 Owner name: REGENTS OF THE UNIVERSITY OF CALIFORNIA, THE, CALI Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNORS:EVENS, JAMES WILLIAM;SCHNEIDER, MICHAEL HARRIS;STEINGART, DANIEL ARTEMIS;AND OTHERS;REEL/FRAME:017493/0348;SIGNING DATES FROM 20060111 TO 20060113 |
|
STCF | Information on status: patent grant |
Free format text: PATENTED CASE |
|
FEPP | Fee payment procedure |
Free format text: PAYOR NUMBER ASSIGNED (ORIGINAL EVENT CODE: ASPN); ENTITY STATUS OF PATENT OWNER: LARGE ENTITY |
|
FEPP | Fee payment procedure |
Free format text: PAYER NUMBER DE-ASSIGNED (ORIGINAL EVENT CODE: RMPN); ENTITY STATUS OF PATENT OWNER: LARGE ENTITY Free format text: PAYOR NUMBER ASSIGNED (ORIGINAL EVENT CODE: ASPN); ENTITY STATUS OF PATENT OWNER: LARGE ENTITY |
|
FPAY | Fee payment |
Year of fee payment: 4 |
|
AS | Assignment |
Owner name: ALCOA INC., PENNSYLVANIA Free format text: CORRECTIVE ASSIGNMENT TO CORRECT THE ASSIGNEE :ALCOA INC.ALCOA CORPORATE CENTER201 ISABELLA STREETPITTSBURGH, PA 15212-5858 PREVIOUSLY RECORDED ON REEL 017493 FRAME 0319. ASSIGNOR(S) HEREBY CONFIRMS THE SALE, ASSIGNMENT AND TRANSFER TO ALCOA INC. ALL RIGHTS, TITLE AND INTEREST FOR US 7,466,240;ASSIGNOR:ZIEGLER, DONALD P.;REEL/FRAME:035056/0606 Effective date: 20150212 |
|
FPAY | Fee payment |
Year of fee payment: 8 |
|
AS | Assignment |
Owner name: ALCOA USA CORP., PENNSYLVANIA Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNOR:ALCOA INC.;REEL/FRAME:041133/0010 Effective date: 20170131 |
|
AS | Assignment |
Owner name: JPMORGAN CHASE BANK, N.A., AS ADMINISTRATIVE AGENT Free format text: SECURITY INTEREST;ASSIGNOR:ALCOA USA CORP.;REEL/FRAME:041214/0386 Effective date: 20170207 |
|
MAFP | Maintenance fee payment |
Free format text: PAYMENT OF MAINTENANCE FEE, 12TH YEAR, LARGE ENTITY (ORIGINAL EVENT CODE: M1553); ENTITY STATUS OF PATENT OWNER: LARGE ENTITY Year of fee payment: 12 |
|
AS | Assignment |
Owner name: ALCOA USA CORP., PENNSYLVANIA Free format text: RELEASE BY SECURED PARTY;ASSIGNOR:JPMORGAN CHASE BANK, N.A.;REEL/FRAME:061558/0257 Effective date: 20220916 |
|
AS | Assignment |
Owner name: SUMITOMO MITSUI BANKING CORPORATION, NEW YORK Free format text: PATENT SECURITY AGREEMENT;ASSIGNOR:ALCOA USA CORP.;REEL/FRAME:067380/0803 Effective date: 20240510 Owner name: SUMITOMO MITSUI BANKING CORPORATION, NEW YORK Free format text: PATENT SECURITY AGREEMENT;ASSIGNOR:ALCOA USA CORP.;REEL/FRAME:067380/0794 Effective date: 20240510 Owner name: JPMORGAN CHASE BANK, N.A., AS ADMINISTRATIVE AGENT, NEW YORK Free format text: SECURITY INTEREST;ASSIGNOR:ALCOA USA CORP.;REEL/FRAME:067376/0263 Effective date: 20240510 |